Headline

Software Engineer @ Lenze | 3 YOE | Distributed Systems & Backend | Java, Go, Spring Boot, Kafka, PostgreSQL, Docker

About

Software Engineer with 3 years of experience specializing in distributed backend systems, microservices architecture, and high-throughput data pipelines. Experienced in refactoring legacy monoliths, performance tuning, and building low-latency infrastructure using Java, Spring Boot, Node.js, and cloud/database tooling. ​Core Highlights & Technical Impact: - ​System Scalability: Re-architected legacy monoliths into asynchronous pipelines, accelerating backend processing speeds by 50x and cutting setup times by 85%. - ​Microservices & Security: Owned end-to-end authentication across 25+ microservices for 10,000+ active users and built event-driven RabbitMQ services with sub-50ms latency. - ​Performance Tuning: Reduced API response times by 50% (1.2s to 600ms) via Redis caching and index optimization. - ​Problem Solving: Solved 2,000+ DSA problems (Top 10.4% globally on LeetCode, Codeforces Pupil). Tech Stack: - ​Languages: Java, C++, JavaScript, TypeScript - ​Backend & Frameworks: Spring Boot, Node.js, React, Microservices, REST APIs, RabbitMQ, Kafka - ​Databases & Tools: PostgreSQL, MySQL, MongoDB, Redis, Docker, Git, AWS ​Open to connecting about backend engineering, system architecture, and tech opportunities. Email: snigdho386@gmail.com

Location

India

AI stack

gemini

github copilot

grok

langchain

ollama

openai

Work experience

Software Engineer at Lenze, Sep 2023 - Present · 3 yrs 2 mos, On-site, - ​Microservices & Security: Owned end-to-end architecture and centralized user authentication across 25+ microservices, securing platform endpoints for 10,000+ active users. - ​System Optimization: Re-architected legacy monolith logic into decoupled asynchronous data pipelines, accelerating backend processing speeds by 50x and cutting setup times by 85%. - ​Real-time Telemetry: Engineered high-throughput streaming pipelines for 500+ industrial sensors (sub-100ms latency) and built event-driven RabbitMQ notification services achieving sub-50ms alert latency. - ​Database & API Scaling: Slashed API response times by 50% (1.2s to 600ms) by implementing Redis caching strategies and database index tuning. - ​Frontend Performance: Spearheaded web app performance optimization using data virtualization and multi-threading, cutting initial load times for 300K+ records by 83%.

Education

Bachelor of Technology, Information Technology, Jalpaiguri government engineering college

AFS, Salua, kendriya vidyalaya

Public links

github: https://github.com/snigdho386

leetcode: https://leetcode.com/snigdho386

codeforces: https://codeforces.com/profile/snigdho386